A Grey wolf optimizer combined with Artificial fish swarm algorithm for engineering design problems
For the problems of Grey wolf optimizer (GWO) easy to fall into local optimum and lack of population diversity, this thesis raises a Grey wolf optimizer combined with an Artificial fish swarm algorithm (AFGWO). First, the search method of grey wolves is improved by combining the clustering behavior...
Kaydedildi:
| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2024-07-01
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| Seri Bilgileri: | Ain Shams Engineering Journal |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2090447924001722 |
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